Paper
5 April 2000 Real world analysis of electromagnetic pulses using adaptive wavelet transforms
Author Affiliations +
Abstract
The Fourier transform (FT) is often used to analyze transient and non-stationary signals even when such signals are not periodic in nature. We demonstrate how an adaptive wavelet transform (WT) can bring out signal details that the traditional FT cannot, as first shown by Szu et al. In 1992. The magnitude plot of the complex Morlet wavelet shows the evolution of the signal's energy in both time and frequency, while the phase plot pinpoints signal discontinuities at various scales. This information can be used to build a compact model and approximate representation of signals characterized by pulses. We are able to infer the physics of devices that generate EM pulses.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nancy A. Breaux and Harold H. Szu "Real world analysis of electromagnetic pulses using adaptive wavelet transforms", Proc. SPIE 4056, Wavelet Applications VII, (5 April 2000); https://doi.org/10.1117/12.381689
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Wavelet transforms

Wavelets

Continuous wavelet transforms

Fourier transforms

Electromagnetism

Discrete wavelet transforms

Physics

RELATED CONTENT

Modulation classification using wavelet transform
Proceedings of SPIE (October 11 1994)
Sensor and system health management simulation
Proceedings of SPIE (April 17 2006)
Destriping for MODIS data via wavelet shrinkage
Proceedings of SPIE (June 16 2003)
Fiber optic system detecting the type of burned fuel in...
Proceedings of SPIE (October 24 2003)

Back to Top